| Practical distributed quantum information processing with LOCCNet | Jan 28, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 | 5 |
| Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability | Mar 22, 2020 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 1 | 5 |
| A kernel-based quantum random forest for improved classification | Oct 5, 2022 | General ClassificationQuantum Machine Learning | CodeCode Available | 1 | 5 |
| Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing | Jan 26, 2021 | BIG-bench Machine Learningimage-classification | CodeCode Available | 1 | 5 |
| A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms | Aug 28, 2022 | Dimensionality ReductionQuantum Machine Learning | CodeCode Available | 1 | 5 |
| Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK | Aug 8, 2023 | BenchmarkingGPU | CodeCode Available | 1 | 5 |
| Generative quantum machine learning via denoising diffusion probabilistic models | Oct 9, 2023 | DenoisingQuantum Machine Learning | CodeCode Available | 1 | 5 |
| A quantum algorithm for training wide and deep classical neural networks | Jul 19, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 | 5 |
| Quantum Denoising Diffusion Models | Jan 13, 2024 | DenoisingImage Generation | CodeCode Available | 1 | 5 |
| The power of quantum neural networks | Oct 30, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 | 5 |
